巴西医疗大麻使用模式:一个探索性潜伏类分析研究研究
Heloísa Scattone1, Luís Eduardo Gauer2, Julia Valle Pezzini3
1School of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil; Laboratory for Interdisciplinary Studies on Psychoactive Substances (LEIPSI), University of Campinas, Campinas, São Paulo, Brazil.
The International journal on drug policy
|July 8, 2025
概括
这项研究确定了在巴西使用医用大麻的五个不同的患者群体,揭示了社会人口统计学因素如何影响他们不同的需求和获取模式. 了解这些类型学可以改善患者护理,并解决访问障碍.
科学领域:
- 医学大麻研究 医学大麻研究
- 患者类型学研究 患者类型学研究
- 公共卫生政策 公共卫生政策
背景情况:
- 由于立法变化,巴西的医用大麻使用量正在增加,但面临着严重的进入障碍.
- 了解患者个人资料对于改善护理和克服监管障碍至关重要.
- 这项研究探讨了巴西医用大麻使用的模式.
研究的目的:
- 根据巴西医用大麻使用者的条件,使用和获取情况,确定不同的患者类型.
- 为克服医用大麻获取障碍并提高患者护理的战略提供信息.
主要方法:
- 在巴西对1335名医用大麻患者和护理人员进行了匿名在线调查 (2023年3月至4月).
- 隐性类分析 (LCA) 用于根据大麻经验,症状,接入路径和管理来定义患者类型.
- 多项逻辑回归分析了阶级成员身份和社会人口统计因素之间的关联.
主要成果:
- 一个五类模型是最优的:心理健康 (36%),缓解疼痛 (24.3%),神经 (17.8%),先前使用多症状 (11.6%),最近启动多症状 (10.3%).
- 阶级成员身份与性别,宗教/精神归属以及家庭月收入有显著的相关性.
- 在临床条件,使用模式和用户之间的访问特征中确定了异质性.
结论:
- 在巴西的医用大麻人口中,存在具有特定需求的不同患者类型.
- 社会人口统计学因素在塑造医用大麻使用模式方面发挥着作用.
- 调查结果支持在巴西不断变化的监管环境下,需要针对医用大麻获取和患者护理的量身定制方法.
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